Artificial Intelligence (AI) including ChatGPT and other large language models can be useful tools if used appropriately. This guide provides information to help the user develop AI literacy-- the ability to understand and critically evaluate AI tools to determine their reliability and effectiveness. The focus of this guide it is not on AI tools for clinical use, or for use in the patient care environment. This guide will present information about risks and opportunities with AI tools like ChatGPT relevant to work in research and scholarly writing in the Advocate Health - Midwest Region.
Artificial Intelligence (AI) is the discipline that creates computer systems capable of activities normally associated with cognitive effort. Examples of AI include predictive models (i.e., regression, machine learning, natural language processing, image recognition, and large language models.
Corpus is a large dataset of written or spoken material that can be used to train a machine to perform linguistic tasks.
Generative AI can create original content in response to user's prompt or request.
Hallucinations occur when the AI perceives patterns in a dataset that are either not present or imperceptible to human observers, leading to nonsensical outputs.
Large Language Models (LLMs) are recent advances in artificial intelligence that are designed to simulate human language. These models are trained on textual data on the internet. ChatGPT is a large language model that was launched publicly in November 2022 and is further being refined by using human feedback during its public testing phase.
Prompt Engineering is the process of communicating with a generative AI model.
Retrieval-augmented generation (RAG) is an advanced AI technique that combines information retrieval with text generation, allowing AI models to retrieve relevant information from a knowledge source and incorporate it into generated text.
This webinar was organized by Advocate Health - Midwest Library's AI Literacy Workgroup, and it covers key terminology related to AI, responsible and ethical use of AI, and methods for critically evaluating AI technologies.
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